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Generative AI entails a credit–blame asymmetry

Abstract:
Generative AI programs can produce high-quality written and visual content that may be used for good or ill. We argue that a credit–blame asymmetry arises for assigning responsibility for these outputs and discuss urgent ethical and policy implications focused on large-scale language models.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s42256-023-00653-1

Authors


More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Law
Research group:
Bonavero Institute of Human Rights
Role:
Author
More by this author
Institution:
University of Oxford
Division:
HUMS
Department:
Theology and Religion
Research group:
Uehiro Centre of Practical Ethics
Role:
Author
ORCID:
0000-0001-9691-2888
More by this author
Institution:
University of Oxford
Research group:
Uehiro Centre of Practical Ethics
Role:
Author


Publisher:
Springer Nature
Journal:
Nature Machine Intelligence More from this journal
Volume:
5
Issue:
5
Pages:
472-475
Publication date:
2023-05-04
Acceptance date:
2023-02-04
DOI:
EISSN:
2522-5839


Language:
English
Subtype:
Comment
Pubs id:
1343480
Local pid:
pubs:1343480
Deposit date:
2025-02-17

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